Penn State Lady Lions
2026 Team Stats (24 games)
74.4
PPG
82.7
Opp
-8.3
Margin
45.6%
FG%
34.2%
3P%
66.5%
FT%
36.9
RPG
16.3
APG
17.8
TO
87.2
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 981 (#441) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +18.4 (#100) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.462 (#309) | AdjO 71.6 | AdjD 73.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.839 (#109) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.785 (#128) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1070 (#159) | RD 173 | GP 24 |
2026 Schedule & Results
2026 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. McMiller
|
G | 24 | 33.5 | 22.6 | 5.2 | 4.4 | 1.8 | 0.2 | 4.4 | 20.4 | 9.5 | 15 | 0.6 | 0.7 | 45.4 | 39.4 | 71.1 | 1.08 | 51.6 | 49.4 |
G. Merkle
|
C | 21 | 26.7 | 18.2 | 8.9 | 1.5 | 0.2 | 1.1 | 2.7 | 11.0 | 16.3 | 42 | 2.0 | 2.5 | 70.4 | 0 | 60.4 | 1.91 | 70.2 | 70.4 |
M. Murray
|
G | 24 | 31.3 | 9.5 | 3.0 | 2.0 | 0.9 | 0.1 | 1.5 | 8.0 | 6.0 | 54 | 2.7 | 17.0 | 40.8 | 39.3 | 90.0 | 2.45 | 58.6 | 57.6 |
T. Cleante
|
G | 24 | 30.8 | 8.8 | 1.5 | 2.8 | 1.7 | 0.2 | 2.1 | 8.1 | 4.8 | 10 | 0.4 | 0.5 | 40.5 | 30.3 | 60.5 | 1.24 | 49.8 | 48.2 |
N. McFadden
|
G | 23 | 15.4 | 5.3 | 3.3 | 1.1 | 0.6 | 0.1 | 1.2 | 3.9 | 5.2 | 11 | 0.5 | 1.6 | 50.0 | 35.7 | 84.6 | 2.09 | 60.1 | 55.6 |
V. Ranisavljevic
|
G | 21 | 17.0 | 4.7 | 1.3 | 1.6 | 0.7 | 0.0 | 1.4 | 3.8 | 3.1 | 20 | 0.9 | 2.0 | 38.8 | 34.9 | 71.0 | 1.99 | 52.9 | 48.1 |
V. Santana
|
G | 23 | 12.2 | 2.4 | 1.4 | 0.8 | 0.4 | 0.0 | 1.2 | 2.1 | 1.7 | 3 | 0.1 | 0.5 | 33.3 | 35.1 | 71.4 | -0.04 | 50.8 | 46.9 |
A. Evans
|
F | 18 | 14.3 | 1.8 | 3.6 | 0.5 | 0.3 | 0.4 | 1.2 | 2.1 | 3.2 | -31 | -1.7 | -4.3 | 28.9 | 0.0 | 71.4 | -0.21 | 36.2 | 28.9 |
S. Steele
|
G | 22 | 11.9 | 1.8 | 2.5 | 1.0 | 1.0 | 0.0 | 1.0 | 2.2 | 3.2 | -71 | -3.2 | -9.3 | 29.2 | 11.8 | 69.2 | -4.15 | 36.3 | 31.2 |
S. Smith
|
G | 16 | 9.5 | 1.8 | 2.6 | 0.9 | 0.4 | 0.0 | 0.9 | 3.1 | 1.8 | 34 | 2.1 | 4.3 | 28.0 | 0.0 | 25.0 | 2.38 | 28.0 | 28.0 |
M. Mendelson
|
F | 14 | 13.1 | 1.6 | 3.1 | 0.8 | 0.3 | 0.6 | 1.1 | 2.4 | 2.9 | -10 | -0.8 | -2.2 | 24.2 | 0.0 | 40.0 | -2.34 | 27.8 | 24.2 |
R. Okokoh
|
F | 20 | 6.2 | 1.1 | 1.7 | 0.2 | 0.3 | 0.3 | 0.5 | 0.8 | 2.4 | -9 | -0.4 | -3.2 | 43.8 | 0 | 64.3 | 0.72 | 51.9 | 43.8 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG